Association of neutrophil/lymphocyte ratio with obstructive coronary artery disease and coronary artery calcium score detected by multislice computed tomography in type 2 diabetes mellitus patients

Abstract

Objective

The aim of the present study was to investigate the association of neutrophil/lymphocyte ratio (NLR) with coronary artery calcium score (CACS) and obstructive coronary artery disease (CAD) detected by multislice computed tomography (MSCT) angiography in type 2 diabetes mellitus (T2DM) patients.

Methods

Two hundred and ninety-two T2DM patients, who were either asymptomatic or symptomatic (but noncharacteristic) for coronary artery disease (CAD) and underwent MSCT angiography in our clinic between May 2009 and June 2014, were enrolled. All patients were divided into two groups according to their mean NLR values. Patients with NLR ≤2.05 were assigned to Group 1 and patients with NLR >2.05 were assigned to Group 2. The association of NLR with CACS and obstructive CAD, which were detected by MSCT angiography, was investigated in T2DM patients.

Results

According to the Agatston scoring method, the mean CACS was 129.5±209.8 Au in Group 1 and 290.3±399.6 Au in Group 2 (P<0.001). Obstructive CAD was detected in 40 (26.8%) patients in Group 1 and in 56 (39.2%) patients in Group 2 (P<0.05, P<0.021).

Conclusion

The rate of obstructive CAD was significantly higher in the T2DM patients with NLR >2.05 than that in the T2DM patients with NLR ≤2.05. In addition, the CACS was also significantly higher in the T2DM patients with NLR >2.05 than that in the T2DM patients with NLR ≤2.05.

Keywords:

• neutrophil
• lymphocytes
• coronary atherosclerosis
• coronary calcium score
• multislice computed tomography
• type 2 diabetes mellitus

Introduction

Type 2 diabetes mellitus (T2DM) is a prevalent disease affecting many people all over the world and its worldwide prevalence was 6.6% in 2010.¹ Cardiovascular diseases are the leading causes of morbidity and mortality in diabetic patients.² A positive association has been defined between atherosclerosis and various inflammatory conditions such as T2DM, hypertension (HT), obesity, and smoking.³

The number of persons suffering from T2DM is expected to approximately double in the next 25 years. The count of persons with T2DM will be increasing from 175 million individuals in 2000 to 353 million in 2030.⁴ T2DM is the major health problem encountered by the developing countries. If T2DM can be early diagnosed, T2DM-related diseases such as cardiovascular disease and systemic complications can be prevented.⁵ Atherosclerosis is a T2DM-related problem, and it is a source of cardiovascular disease.⁶ Metabolic changes due to T2DM can impair the vascular walls, and this condition plays an important role in atherosclerotic plaque development.⁶

American Diabetes Association defined prediabetes as a metabolic clinical condition that leads to predisposition for the future development of T2DM.⁷ Impaired fasting glucose (IFG) and/or impared glucose tolerance (IGT) are two main conditions of prediabetes. IFG is defined as a fasting plasma glucose levels ranging from 100 mg/dL (5.6 mmol/L) to 125 mg/dL (6.9 mmol/L). IGT as a condition characterized by 2-hour values of plasma glucose in the oral glucose tolerance test ranging from 140 mg/dL (7.8 mmol/L) to 199 mg/dL (11.0 mmol/L). Additionally a glycated hemoglobin (HbA1C) plasma levels ranging from 5.7% to 6.4% is further considered as a prediabetic condition.⁷

T2DM persons who have developed cardiac dysfunction have several molecular signaling pathways that were broken.^8,9 Hyperinsulinemia, hyperglycemia, and insulin resistance affect oxidative stress molecules, and oxidative stress molecules increase may start initial damages to cardiac cells.^10,11 The disorder of oxidative metabolism increases free fatty acids circulation and lipid metabolism, and this process ends up with lipid accumulation and lipotoxicity in the heart.¹²

Inflammation plays an important role in all stages of coronary artery disease (CAD).¹³ Atherosclerosis is a complex inflammatory disease.¹⁴ Leukocytes make substantial contribution to this inflammatory process.¹⁵ In several prospective studies, a positive correlation has been demonstrated between total and different leukocyte counts and future cardiovascular events in healthy subjects.^16,17 Recently, neutrophil/leukocyte ratio (NLR) has appeared as a new inflammatory biomarker.¹⁸

In one study, NLR was higher in patients with hemodynamically significant coronary artery stenosis. NLR was found to be an independent predicting factor for hemodynamically significant coronary artery stenosis as measured by fractional flow reserve (FFR).¹⁹

Another study shows that platelet count, white blood cell count, creatinine, glycemia, uric acid, and C-reactive protein levels affected NLR. NLR was inversely related to total cholesterol, triglycerides, and hemoglobin. The NLR was associated with multiple CAD, anterior descending CAD, right CAD, branch lesions of circumflex CAD, coronary artery stenosis percentage, coronary artery calcification, and coronary artery trombosis. It was shown that NLR was associated with CAD and severity.²⁰

One study shows that there is a relationship between neutrophil gelatinase-associated lipocalin (NGAL) and the degree of aortic stiffness. Patients with noncritical CAD have higher degree of aortic stiffness and NGAL level. According to this study, NGAL can be used as a tool for risk stratification in patients with noncritical CAD.²¹

Moro-Garcia et al have shown that the patients who have acute coronary syndrome have higher immune response.²²

There is a strong parallelism between coronary artery wall calcification and atherosclerotic CAD.²³ It is known that detection of amount and distribution of coronary artery calcification and performing coronary artery calcium scoring (CACS) are important parameters for the prediction of cardiovascular risk.^24–26 Multislice computed tomography (MSCT) coronary angiography is considered as a noninvasive modality in detecting and classifying CAD.^27,28

The aim of the present study was to investigate the association of NLR with CACS and obstructive CAD detected by MSCT angiography in type 2 diabetic patients.

Methods

Clinical characteristics of patients

The present study comprised 292 T2DM patients, who were either asymptomatic or symptomatic (but most of them were noncharacteristic) for coronary artery disease (CAD) and had undergone MSCT angiography in our clinic. The study comprised patients who had nonspecific or stable angina and were in New York Heart Association class II or lower and admitted to the Cardiology or Internal Medicine Polyclinic. The patients did not have any complaints except chest pain. They had no autoimmune disease and were found to have no infection. The patients who had WBC count out of the normal range (4,000–12,000 cells/μL), acute infection, autoimmunological diseases, and any other disease (such as urinary system infection, cholecystitis) that could affect WBC count were excluded. Data were collected retrospectively, and the approval of the Ethics Committee (Medical School, Selçuk University, Konya, Turkey) was obtained. Our study was designed and managed according to the Declaration of Helsinki.

Cardiovascular risk factors

All participants were explored in terms of risk factors for CAD including smoking, HT, T2DM, hyperlipidemia, and family history of CAD. Smoking related to ischemic CAD. People who are living in our country use cigarette.

T2DM was defined in patients with HbA_1c level of ≥6.5% (48 mmol/L) and a fasting plasma glucose level of ≥7.0 mmol/L (126 mg/dL). Serum glucose and HbA_1c levels were detected using Cobast integra 800 (Hoffman-La Roche Ltd., Basel, Switzerland).

HT as medical term is characterized by systolic tension ≥140 mmHg or diastolic tension ≥90 mmHg in adult persons (>18 years of age). These measurements have to be done on two different days and using blood pressure tools calibrated.

Dyslipidemia was defined in patients with a fasting total cholesterol serum level of ≥240 mg/dL, serum level of triglyceride ≥200 mg/dL, low-density lipoprotein (LDL) cholesterol ≥160 mg/dL, and/or high-density lipoprotein (HDL) cholesterol <40 mg/dL and in patients receiving or not receiving medical therapy for dyslipidemia.²⁹ Serum cholesterol levels were detected using Cobast integra 800 (Hoffman-La Roche Ltd.).

Before computerized tomography scanning, height (Human scale; NAN Tarti Co., Turkey) and weight (TANITA Body Composition Analyzer; TANITA Corporation, Japan) of the patients were measured and their body mass indexes (BMIs) were calculated. Patients with BMI <25 kg/m² were considered to have normal weight, those with BMI between 25 kg/m² and 30 kg/m² were considered overweight, and those with BMI ≥30 kg/m² were considered obese.

Coronary calcium scoring

In the first step, all patients underwent noncontrast-enhanced computed tomography (CT) beginning from carina extending to the subdiaphragmatic level (Somatom Sensation 64; Siemens, Forchheim, Germany). On noncontrast-enhanced CT, calcified coronary artery plaques were explored on cardiac sections. CACS was performed using preexisting software in the device (Syngo CaScore, Siemens; Agatston scoring method).

Total CACS was the sum of calcium levels calculated in the left main coronary artery, in the left anterior descending coronary artery, in the circumflex coronary artery, and in the right coronary artery traces. Collected data were evaluated using the percentiles predefined according to the age and sex.³⁰ Individual calcium scores were grouped as low (0–25 percentile), moderate (25–75 percentile), and high (75–100 percentile).

Multislice computed tomography image reconstruction and CAD evaluation

In the second step, all patients underwent MSCT angiography using Somatom Sensation 64 tomography device (Siemens), and scanning parameters were selected as follows: gantry rotation time 330 ms; tube voltage 120 kW; 250 mA; and detector collimation 0.6 mm. Images were obtained in a single breath within approximately 8.4–13.1 seconds in craniocaudal direction from carina to subcostal level. During MSCT angiography, 80–110 mL (based on the patient’s weight) of nonionic contrast agent (Iomeron 400; Bracco s.p.a., Milan, Italy) was administered through antecubital vein at a speed of 5.0 mL/s followed by 40 mL isotonic bolus. Automatic peak contrasting density through ascending aorta was determined to be +140 Hounsfield units. Reconstructions were obtained from the images on 0.6 mm sections increasing them by 0.6 mm according to the retrospective electrocardiography-gating technique. Images in multiplanar reformats and three-dimensional volume rendering format were created from thin axial sections, and anatomy of coronary artery was evaluated.

All segments of coronary arteries were investigated visually. Patients were divided into groups according to the degree of coronary artery obstruction as normal (without or insignificant plaque), non-obstructive CAD (non-obsCAD; degree of obstruction <50% with at least one plaque), and obstructive CAD (obsCAD; degree of obstruction ≥50% with at least one plaque) (Figures 1 and 2). MSCT angiography was performed by radiologists, cardiovascular surgeons, and cardiologists. MSCT angiography examinations were performed by specialists who were blinded to NLR results.

Figure 1 Right coronary artery with plaque (white arrow) and left anterior descending coronary artery with plaque (black arrow).

Figure 2 Circumferential coronary artery with plaque (arrow).

White blood cell count and neutrophil/lymphocyte ratio

White blood cell and different subtype counts were obtained using automated differential leukocyte counter Sysmex KX-21N (TOA Medical Electronics, Kobe, Japan). Patients were divided into two groups according to their mean NLR values as Group 1 having NLR ≤2.05 and Group 2 having NLR >2.05. Groups were formed according to the mean values of the study population. MSCT angiography was performed in a short time (1–3 days) after WBC count measurement.

Statistical analysis

Statistical analyses were performed using the Statistical Package for the Social Sciences program (SPSS Inc., Chicago, IL, USA). Statistical significance of nonparametric data between the groups was analyzed by Pearson’s chi-squared test. Parametric data were expressed as minimum, maximum, and mean ±standard deviation, and statistical significance of parametric data between the groups was analyzed by independent Student’s t-test. The result was considered statistically significant if two-tailed P-value was lower than 0.05 (P<0.05). The relationship of obsCAD with CACS and NLR was found to be significant using multivariate analysis.

Binary logistic regression analysis was performed to assess the independent predictors of obsCAD. All variables that were found significant in univariate analysis were included in the model of logistic regression model, and the results are shown as an odds ratio with 95% confidence intervals. A two-tailed P<0.05 was considered as statistically significant.

The relationship among NLR, CACS, and obsCAD were investigated using one-way analysis of variance (ANOVA) and post hoc analysis, which are two of the multivariate analysis tests. A two-tailed P-value of <0.05 was considered statistically significant. Multivariate analysis (one-way ANOVA) was performed on groups that were separated as normal, non-obsCAD, and obsCAD. Persons who were grouped as normal, non-obsCAD, and obsCAD were different in terms of NLR (P<0.05, P=0.04) and calcium scoring (P<0.01).

Results

In our study, we saw that groups are similar with regard to some parameters such as age and sex. But Group 2 has higher rates of HT (P=0.022, P<0.05), CACS (P<0.001), and obsCAD (P=0.021, P<0.05) (Table 1). Group 2 included persons who have high NLR. Statistical analysis was adjusted to the angle of these factors in Table 2. We found statistical significance for CACS in Group 2, which has high CACS (P<0.001). The persons who are using antiHT agents were statistically similar according to drug difference in both groups (P>0.05).

Table 1 Statistical data for two groups according to NLR

	Group 1 (n=149) (NLR ≤2.05)	Group 2 (n=143) (NLR >2.05)	P-value
NLR	1.5±0.3	2.5±0.3	<0.001*
Age, years (±SD)	55.9±9.6	56.7±12.2	0.520*
Sex (male)	130 (87.2%)	128 (89.5%)	0.547**
Smoking	47 (31.5%)	50 (35%)	0.535**
Familial history	17 (11.4%)	19 (13.3%)	0.626**
Body mass index normal weight	32 (21.5%)	18 (12.6%)
Overweight	82 (55%)	88 (61.5%)	0.131**
Obese	35 (23.5%)	37 (25.9%)
Blood glucose level (starving) (mg/dL)	128.4±53.1	126.8±40.5	0.773*
HbA1c (last 6 months) (mg/dL)	7.5±0.9	7.6±2.2	0.660*
Cholesterol (mg/dL)	194.6±1.4	195±36.8	0.935*
Triglyceride (mg/dL)	179±75.4	162.8±75.4	0.186*
High-density lipoprotein-C (mg/dL)	46.7±126	47.7±14.5	0.572*
Low-density lipoprotein-C (mg/dL)	116.9±34.8	118.2±30.1	0.729*
Aspartate aminotransferase (U/L)	24.7±13.6	22.6±10.3	0.141*
Alanine aminotransferase (U/L)	32.8±25	32.7±23.3	0.978*
Hyperlipidemia	79 (53%)	83 (58%)	0.388**
Hypertension	86 (57.7%)	101 (70.6%)	0.022**
Antihypertension agents
ACE inhibitors	29 (33.7%)	32 (31.7%)	0.977**
Beta blockers	17 (19.8%)	20 (19.8%)
Calcium-channel blockers	29 (33.7%)	37 (36.6%)
Angiotensin receptor blockers	11 (12.8%)	12 (11.9%)
Statin use	65 (43.6%)	67 (46.9%)	0.579**
Antidiabetic agent	94 (63.1%)	96 (67.1%)	0.469**
Calcium scoring (Au)	129.5±209.8	290.3±399.6	<0.001*
CAD disease
Normal + non-obsCAD	109 (73.2%)	87 (60.9%)
ObsCAD	40 (26.8%)	56 (39.2%)	0.021**

Notes:

* P-value was presented as a result of Student’s t-test.

** P-value was presented as a result of Pearson’s chi-squared test.

Abbreviations: NLR, neutrophil/lymphocyte ratio; SD, standard deviation; HbA_1c, glycosylated hemoglobin; ACE, angiotensin converting enzyme; CAD, coronary artery disease; non-obs, non-obstructive; obs, obstructive.

Table 2 Binary logistic regression analysis was performed for hypertension and CACS, which showed statistically significant difference between the groups

	Unadjusted OR	95% CI	P-value	Adjusted OR	95% CI	P-value
Hypertension	3.246	1.231−8.557	0.017	–	–	–
Calcium scoring (Au)	1.009	1.007−1.012	<0.001	1.009	1.007–1.011	<0.001

Abbreviations: CACS, coronary artery calcium score; OR, odds ratio; CI, confidence interval.

The sex differences between two groups regarding clinical characteristics

In the males of Group 1, the mean NLR was 1.55±0.3, the mean age was 54.3±8.8 years, and the mean CACS according to the Agatston scoring was 131.7±204.8 Au, whereas the mean value of serum HbA_1c was 7.5±1.8, fasting blood glucose was 130.1±55.1 mg/dL, serum triglyceride was 183.2±132.2 mg/dL, serum HDL was 45.1±14.5 mg/dL, and serum LDL was 116.5±35.7 mg/dL. Of the males, 28 (21.5%) were obese, 47 (36.2%) were smokers, 33 (25.4%) had obsCAD, 73 (56.2%) had HT, 68 (52.3%) had hyperlipidemia, 54 (41.5%) were receiving statin, and 85 (65.4%) were receiving antidiabetic agent (Figure 3).

Figure 3 Coronary artery disease according to groups.

Abbreviations: CAD, coronary artery disease; obs, obstructive; NLR, neutrophil/lymphocyte ratio; non-obs, non-obstructive; obs, obstructive.

In the females of Group 1, the mean NLR was 1.6±0.33, the mean age was 67.1±7.3 years, and the mean coronary artery calcium score (CACS) according to the Agatston scoring was 114±247.0 Au, whereas the mean value of serum HbA_1c was 7.9±2.8, fasting blood glucose was 116.6±35.5 mg/dL, serum triglyceride was 150.4±65.2 mg/dL, serum HDL was 57.5±20.8 mg/dL, and serum LDL was 119.4±28.8 mg/dL. Seven (36.8%) females were obese, and none of the females were smokers. Of the females, seven (36.8%) had obsCAD, 13 (68.4%) had HT, eleven (57.9%) had hyperlipidemia, eleven (57.9%) were receiving statin, and nine (47.4%) were receiving antidiabetic agent (Figure 4).

Figure 4 Multivariate analysis (one-way ANOVA) was performed on groups separated as normal, non-obsCAD, and obsCAD. Among persons who has either normal, or non-obsCAD, or obsCAD were different in terms of NLR (P<0.05, P=0.04) and calcium scoring (P<0.01).

Abbreviations: ANOVA, analysis of variance; non-obsCAD, non-obstructive coronary artery disease; obsCAD, obstructive coronary artery disease; NLR, neutrophil/lymphocyte ratio; CACS, coronary artery calcium score.

In the males of Group 2, the mean NLR was 2.4±0.34, the mean age was 55.6±11.2 years, and the mean CACS according to the Agatston scoring was 309.8±418.0 Au, whereas the mean value of serum HbA_1c was 7.6±2.3, fasting blood glucose was 128.2±42.1 mg/dL, serum triglyceride was 164.6±79.2 mg/dL, serum HDL was 47.2±15.0 mg/dL, and serum LDL was 117.7±30.2 mg/dL. There were 34 (26.6%) obese subjects and 47 (36.7%) smokers; 51 (39.8%) had obsCAD, 86 (67.2%) had HT, 74 (57.8%) had hyperlipidemia, 61 (47.7%) were receiving statin, and 84 (65.6%) were receiving antidiabetic agent.

In the females of Group 2, the mean NLR was 2.6±0.39, the mean age was 66.2±16.2 years, and the mean CACS according to the Agatston scoring was 123.7±37.4 Au, whereas the mean value of serum HbA_1c was 7.6±0.95, fasting blood glucose was 114.2±18.5 mg/dL, serum triglyceride was 147±19.4 mg/dL, serum HDL was 52.2±7.4 mg/dL, and serum LDL was 122.7±29.8 mg/dL. There were three (20%) obese subjects and three (20%) smokers; five (33.3%) had obsCAD, 15 (100%) had HT, nine (60%) had hyperlipidemia, six (40%) were receiving statin, and 12 (80%) were receiving antidiabetic agent (Figure 5).

Figure 5 Coronary artery disease according to sex.

Abbreviations: CAD, coronary artery disease; obs, obstructive; non-obs, non-obstructive; obs, obstructive.

Of the 292 patients included in the groups, 162 (55.4%) had diagnosis of hyperlipidemia. Of these patients, 132 were using statins and 30 discontinued their therapies due to statin-induced hypolipidemia.

Discussion

In the present study, the rate of obsCAD detected in MSCT angiography in Group 2 was significantly higher than in Group 1 (P<0.05). Moreover, CACS was significantly higher in Group 2 than in Group 1 (P<0.05). The relationship of obsCAD with CACS and NLR was found to be significant using multivariate analysis (P=0.048, P<0.001).

MSCT has been proposed as a noninvasive method for detection and classification of coronary artery plaques.^27,28,31 MSCT coronary angiography is an important tool to detect CAD in an early stage. In a study, MSCT angiography and invasive coronary angiography have been compared in evaluating the coronary arteries and branches larger than 1.5 mm and the sensitivity and specificity of MSCT have been found to be 94% and 97%, respectively.³²

Risk of future coronary heart disease is increased as the total amount of calcium in the coronary arteries is increased.³³ In a systematic study, while the prevalence of cardiovascular events in the patients with zero CACS has been found to be 0.56%, its negative predictive value has been found to be as high as 99%.³⁴ In some studies, the risk of significant coronary artery stenosis (>50%) has been found to be lower than 3% by invasive coronary angiography in the patients with CACS lower than 100 Au.³⁵ In our study, when the participants were divided into normal, non-obsCAD, obsCAD individuals, CACS was found to be 9.8±20.5 Au in normal persons, 81.3±149.8 Au in non-obsCAD persons, and 530.7±376.5 Au in obsCAD persons (P<0.001).

Atherosclerosis is a multifactorial disease including HT, dyslipidemia, dysglycemia, smoking, and other cardiovascular risk factors. Recent studies have demonstrated that atherogenesis is not a simple passive injury caused by the serum lipids and other substances on the vascular wall, but an active inflammatory process.³⁶ Leukocytes play a major role, either regenerative or pathogenic, in this inflammatory process.³⁷ Functional molecules of inflammatory cells may lead to acute coronary syndrome by enhancing the progression of early atherogenic lesions.³⁸ Recent studies have revealed that neutrophils participate in many steps ranging from the development to the rupture of atherosclerotic plaque.^{13–15,35,36} In our study, CACS shows that the accumulation of calcium in coronary artery and plaque development was found to be of high in Group 2 (NLR >2.05) (P<0.001).

Some studies reported that hypercholesterolemia causes neutrophilia by enhancing the production of neutrophils and their passage from bone marrow into the circulation while decreasing their clearance.³⁶ Our results did not show any differences among NLR groups regarding hyperlipidemia (P>0.05) because the mean NLR was 2.04±0.53 in the patients with hyperlipidemia, and it was 1.99±0.62 in those with normal cholesterol level.

In a few studies, a significant correlation of fasting and postprandial blood glucose with WBC count has been reported.³⁷ Two studies have also indicated a significant relation between neutrophil count and blood pressure.³⁸ In our study, starving blood glucose level was found to be low in Group 1, which was found to be statistically insignificant, and in Group 2 with high NLR value has high HbA_1c, which was statistically insignificant. The persons who have HT were higher in Group 2 than in Group 1 and is statistically significant (P=0.022).

A ratio reflecting acute episode of inflammation (increase in neutrophil) and acute physiological stress (decrease in lymphocyte) has begun to be used recently. Gibson et al¹⁸ demonstrated NLR as a good indicator of inflammation. In acute coronary syndrome, lymphopenia can also be observed together with the increase in neutrophil. In the study by Furman et al³⁹ WBC and subtypes were found to be responsible for cardiovascular events and were emphasized as an indicator of inflammation. Kirtane et al⁴⁰ showed that the increase in neutrophil level was associated with extent and short-term prognosis of myocardial damage in acute coronary syndrome. Thomson et al⁴¹ reported that the lymphopenia observed in acute coronary syndrome was associated with stress-induced cortisol release and that this was one of the early findings. In our study, the participants included were the persons who had no acute coronary syndrome, the persons who had no findings to coronary angiography application, and the persons who had suspicious laboratory results.

Papa et al⁴² emphasized NLR to be an independent predictor of cardiac events in patients with CAD. Horne et al⁴³ confirmed NLR to be a predictor of mortality in patients with CAD. Gibson et al⁴⁴ demonstrated NLR to be associated with the decrease in survival after coronary artery bypass grafting. Another study has indicated that NLR is an independent predictor of all-cause mortality in patients having percutaneous coronary intervention.⁴⁵ In the study investigating the progression of coronary atherosclerosis, Kalay et al⁴⁶ reported NLR as an important indicator. In our study, NLR was not compared with cardiac events as a predictor. But according to our study, we can say that coronary artery plaque accumulation, which has potential for cardiac events, was found higher in Group 2 (NLR >2.05) and is statistically significant (P<0.001).

Azab et al conducted a study in patients with T2DM and reported cardiac events to be more common in patients with high NLR.⁴⁷ One of the current reviews, which was written by Balta et al reported that NLR is an indicator of inflammation, and it can be associated with vascular disease.⁴⁸ Kurtul et al mentioned that NLR is independently associated with the severity of CAD in patients with non-ST segment elevation myocardial infarction.⁴⁹ Tsai et al conducted a study in T2DM patients who have the risk of ischemic CAD and metabolic syndrome associated with peripheral leukocyte counts. They emphasized that NLR is the risk of ischemic cardiovascular disease, especially in T2DM patients who have metabolic syndrome.⁵⁰ In our study, we found that the count of obsCAD persons is high in Group 2 (NLR >2.05) and is statistically significant (P=0.021). We report that the increased obsCAD found in high NLR group is important because of its potential danger in future to cause myocardial infarction.

Some studies show that prediabetic condition is associated with increased cardiovascular risks.⁵¹ Additionally, these studies demonstrated that the impairment in early markers of atherosclerosis is responsible for this process.^52,53 Insulin resistance is one of the important factor for shaping the future of T2DM patients.⁵⁴ Newman et al emphasized that this is genetically determined and an important thing for the future of T2DM patients, and it has come out as family history.⁵⁵ In our study, we found similar rates of T2DM family history.

Study limitations

The present study mostly comprised patients who underwent MSCT and are being prediagnosed with CAD. This study was designed as cross-sectional and retrospective. Thus, epidemiological studies are needed to verify the results of the present study. Since all the patients were Caucasian, the study does not represent other races. The diagnosis of CAD was performed only using MSCT. In some cases, there was difficulty in detecting the degree of obstruction in terms of CAD, rarely in the event of massive calcified plaques on MSCT coronary angiography, although respiratory artifacts in the patients with respiratory distress caused difficulties in differentiation from likely coronary artery soft plaques.

Conclusion

In the present study, the rate of obsCAD was significantly higher in the T2DM patients with NLR >2.05 than those with NLR ≤2.05. In addition to CACS, obsCAD has the potential risk of ischemic CAD and is related to cardiac events in future, and it was also found to be significantly higher in the patients with NLR >2.05 than the patients with NLR ≤2.05. According to our study, we can say that the T2DM persons who have high NLR value have the increased risk of ischemic CAD and cardiac events such as acute coronary syndrome and myocardial infarction.

The results of the present study conducted in T2DM patients can be summarized in two ways: first, rate of obsCAD is significantly higher in those with high NLR value, second, coronary calcium risk score, it is seen as the predictor of ischemic CAD, is increased in those with high NLR value. These results should be supported by further comprehensive studies.

Disclosure

The authors report no conflicts of interest in this work.